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Behavior Research Methods|October 26, 2017
Differentiating between mixed-effects and latent-curve approaches to growth modelingDaniel McNeish, Tyler MattaMultivariate Behavioral Research|December 25, 2016
Accommodating Small Sample Sizes in Three-Level Models When the Third Level is IncidentalDaniel McNeish, Kathryn R WentzelStatistical Methods in Medical Research|January 13, 2021
Improving convergence in growth mixture models without covariance structure constraintsDaniel McNeish, Jeffrey R HarringBehavior Research Methods|April 24, 2020
Thinking twice about sum scoresDaniel McNeish, Melissa Gordon WolfEducational and Psychological Measurement|May 26, 2018
Correcting Model Fit Criteria for Small Sample Latent Growth Models With Incomplete DataDaniel McNeish, Jeffrey R HarringMultivariate Behavioral Research|June 9, 2016
Modeling Clustered Data with Very Few ClustersDaniel McNeish, Laura M StapletonMultivariate Behavioral Research|May 6, 2021
Reducing Incidence of Nonpositive Definite Covariance Matrices in Mixed Effect ModelsDaniel McNeish, Daniel J BauerPsychological Methods|March 9, 2018
The effect of measurement quality on targeted structural model fit indices: A comment on Lance, Beck, Fan, and Carter (2016)Daniel McNeish, Gregory R HancockPsychological Methods|December 20, 2019
A primer on two-level dynamic structural equation models for intensive longitudinal data in MplusDaniel McNeish, Ellen L HamakerPsychological Methods|December 22, 2022
Intensive longitudinal mediation in MplusDaniel McNeish, David P MacKinnonPageof 7